Adjusting for the environment in DEA: a comparison of alternative models based on empirical data

Due to the existence of free software and pedagogical guides, the use of Data Envelopment Analysis (DEA) has been further democratized in recent years. Nowadays, it is quite usual for practitioners and decision makers with no or little knowledge in operational research to run their own efficiency analysis. Within DEA, several alternative models allow for an environmental adjustment. Four alternative models, each user-friendly and easily accessible to practitioners and decision makers, are performed using empirical data of 90 primary schools in the State of Geneva, Switzerland. Results show that the majority of alternative models deliver divergent results. From a political and a managerial standpoint, these diverging results could lead to potentially ineffective decisions. As no consensus emerges on the best model to use, practitioners and decision makers may be tempted to select the model that is right for them, in other words, the model that best reflects their own preferences. Further studies should investigate how an appropriate multi-criteria decision analysis method could help decision makers to select the right model.

Changes in cannabis and tobacco use trajectories from age 17 to age 23

Much like the first volume published in 2011, the second volume of this anthology series gathers a selection of analyses which are empirically based on the data of the Swiss panel study TREE (Transitions from Education to Employment). The contributions of this volume carry on the investigation of the critical transitions during youth and young adulthood, drawing on sociological, economic, psychological and pedagogical research questions and thus highlighting the analytic and pluri-disciplinary research potential of the TREE data. One of the topical foci is the long-term influence of social origin on education and labour market pathways, particularly with regard to access to higher education.